bgavran/Category_Theory_Machine_Learning resource

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1538 stars · 103 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated list of papers applying category theory to machine learning, grouped by subfield such as deep learning, probabilistic modeling, and NLP. It serves as a research reference and reading guide rather than a software tool.

Use cases

• find papers on category theory applied to machine learning
• learn categorical foundations of deep learning
• research backpropagation as a functor
• find theses on categorical deep learning
• explore lenses and learners literature
• survey compositionality in neural networks

When to choose

• you want a comprehensive reading list on category theory and ML
• you are a researcher exploring categorical approaches to deep learning
• you need references for a paper or thesis on this topic

When to avoid

• you need working code or a library
• you want an introductory tutorial rather than paper links
• you need practical ML tooling

Facets

learning-resource · maturity active

machine-learning documentation machine-learning artificial-intelligence tutorials awesome-lists cross-platform category-theory curated-list papers research deep-learning lenses

Member repositories

For agents

markdown · JSON · MCP: product_card(name="bgavran/Category_Theory_Machine_Learning")